collaborators

5 papers

cs.CV2026

Self-Supervised Learning of Plant Image Representations

Ilyass Moummad, Kawtar Zaher, Hervé Goëau +3

Automated plant recognition plays a crucial role in biodiversity monitoring and conservation, yet current approaches rely heavily on supervised learning, which is limited by the av…

cs.CV2026

Energy-Efficient Plant Monitoring via Knowledge Distillation

Ilyass Moummad, Reda Bensaid, Kawtar Zaher +5

Recent advances in large-scale visual representation learning have significantly improved performance in plant species and plant disease recognition tasks. However, state-of-the-ar…

cs.CV2026

Image Hashing via Cross-View Code Alignment in the Age of Foundation Models

Ilyass Moummad, Kawtar Zaher, Hervé Goëau +1

Efficient large-scale retrieval requires representations that are both compact and discriminative. Foundation models provide powerful visual and multimodal embeddings, but nearest…

cs.CV2025

Overview of PlantCLEF 2025: Multi-Species Plant Identification in Vegetation Quadrat Images

Giulio Martellucci, Herve Goeau, Pierre Bonnet +2

Quadrat images are essential for ecological studies, as they enable standardized sampling, the assessment of plant biodiversity, long-term monitoring, and large-scale field campaig…

cs.CV2025

Overview of PlantCLEF 2024: multi-species plant identification in vegetation plot images

Herve Goeau, Vincent Espitalier, Pierre Bonnet +1

Plot images are essential for ecological studies, enabling standardized sampling, biodiversity assessment, long-term monitoring and remote, large-scale surveys. Plot images are typ…